Fits linear or logistic regression model using Bayesian continuous shrinkage prior distributions. Handles ridge, lasso, horseshoe and horseshoe+ regression with logistic, Gaussian, Laplace or Studentt distributed targets.
Author  Daniel F. Schmidt and Enes Makalic 
Date of publication  20161124 11:31:05 
Maintainer  Daniel F. Schmidt <dschmidt@unimelb.edu.au> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

All man pages Function index File listing
Man pages  

bayesreg: Fitting Bayesian Regression Models with Continuous Shrinkage...  
predict.bayesreg: Predict method for Bayesian penalised regression (bayesreg)...  
summary.bayesreg: Summarize Bayesian penalised regression (bayesreg) fits 
Functions  

bayesreg  Man page Source code 
bayesreg.bfr  Source code 
bayesreg.computedic  Source code 
bayesreg.ess  Source code 
bayesreg.fastmvg2_rue  Source code 
bayesreg.fastmvg_bhat  Source code 
bayesreg.linregnlike  Source code 
bayesreg.logregnlike  Source code 
bayesreg.rinvg  Source code 
bayesreg.sample_beta  Source code 
bayesreg.sample_beta0  Source code 
bayesreg.standardise  Source code 
predict.bayesreg  Man page Source code 
summary.bayesreg  Man page Source code 
Files  

NAMESPACE
 
R
 
R/bayesreg.R  
MD5
 
DESCRIPTION
 
man
 
man/predict.bayesreg.Rd  
man/bayesreg.Rd  
man/summary.bayesreg.Rd 
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